{"id":"W2017465745","doi":"10.3390/s120303512","title":"Inertial Sensing to Determine Movement Disorder Motion Present before and after Treatment","year":2012,"lang":"en","type":"article","venue":"Sensors","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Calgary","keywords":"Inertial frame of reference; Motion (physics); Movement (music); Inertial measurement unit; Motion sensors; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Medicine; Acoustics; Physics; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003772271,0.0001514466,0.0001153883,0.00006293735,0.00003926033,0.00001815092,0.00001513449,0.00005177709,0.00002177637],"category_scores_gemma":[0.000006049936,0.0001283016,0.00003396914,0.00007719232,0.00001172261,0.00008538109,0.00001526298,0.00004169444,0.00003342696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009996246,"about_ca_system_score_gemma":0.000001380418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000149056,"about_ca_topic_score_gemma":0.0002009421,"domain_scores_codex":[0.999329,0.00001695369,0.0001464197,0.0001142354,0.0001078421,0.0002855362],"domain_scores_gemma":[0.9997067,0.000009898362,0.00001189952,0.000119999,0.00001760698,0.0001339102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001682169,0.0001783944,0.06935276,0.0001067193,0.0001395488,0.00002722061,0.0142199,0.076948,0.06036292,0.00004653521,0.0002051477,0.7782446],"study_design_scores_gemma":[0.00190561,0.0005423413,0.4727592,0.00009264901,0.0001377798,0.00003777773,0.0005691838,0.3121994,0.1889446,0.00009397991,0.02171488,0.001002646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982628,0.00009798695,0.0004943633,0.0001447348,0.0003273867,0.0002673334,0.000007692685,0.0001110484,0.0002866497],"genre_scores_gemma":[0.998696,0.00001343811,0.0004607972,0.00005369715,0.0005061325,0.00001074194,0.00001249991,0.00002905953,0.0002176264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.777242,"threshold_uncertainty_score":0.5231985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007299081680530463,"score_gpt":0.2160701713973323,"score_spread":0.2087710897168018,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}